Our client, a leading major enterprise, is looking for a Senior Business Analyst to drive their Data Engineering and Analytics and AI transformation programme. The selected candidate will be leading the design of the next-generation Data Engineering and Analytics and AI technology across use cases and solutions.
Work with the business partners including users, technology, and operations to collect user requirements and perform business analysis.
Design Data Engineering and Analytics and AI use cases that fit into the business needs.
Build product requirement specifications in maximizing the values and create the best user value.
Define business requirements with the stakeholders. Perform business analysis, user story, and define the workflow. Provide recommendations on process enhancements and systems upgrades.
Manage end-to-end project business analysis including feasibility study, requirement analysis, UAT, and implementation support.
Build a strong relationship with business leaders and decision-makers. Establish user cases and solution plans in achieving the business objectives.
Manage system testing, UAT, implementations, and post-implementation evaluation.
At least 8 years of experience in Business Analysis ideally with a focus on Data Engineering and Analytics, AI, or Big Data.
Proven experience in participating in data transformation-related projects in a large enterprise environment.
Experience in managing end-to-end business analysis with business stakeholders.
Great knowledge of the business process and change management.
Experience in Data Engineering and Analytics software, Jira, Confluence, and Tableau is a big plus
Knowledge in business intelligence, data wrangling, data visualization, or data management techniques and tools
Strong interpersonal skills with different senior stakeholders.
Excellent communication and interpersonal skills.
Fluency in verbal and written English communications is essential.
University graduate with a Bachelor's Degree preferably in Business, Finance, IT, or other related disciplines